Triple
T8397757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California water quality standards |
E198095
|
entity |
| Predicate | includesCriterionType |
P4187
|
FINISHED |
| Object | numeric criteria |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: numeric criteria | Statement: [California water quality standards, includesCriterionType, numeric criteria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesCriterionType Context triple: [California water quality standards, includesCriterionType, numeric criteria]
-
A.
hasCriterionType
chosen
Indicates that something is associated with or classified by a specific type of criterion used for evaluation or decision-making.
-
B.
compositionCriterion
Indicates the rule or standard by which components are selected, combined, or arranged to form a whole.
-
C.
evaluationCriteriaInclude
Indicates that certain criteria are part of, or explicitly included in, the set of standards used to evaluate something.
-
D.
hasQualityCriterion
Indicates that something is associated with a specific standard or criterion used to judge its quality.
-
E.
hasSubcriterion
Indicates that a criterion includes another, more specific criterion as a subordinate part of its evaluation structure.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82f816bc8190ab321c07d72208c1 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb818a8dc081908efd5d7f910322e7 |
completed | March 31, 2026, 8:10 a.m. |
| PD | Predicate disambiguation | batch_69cb70d24b248190a326aa6804f942b5 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:04 p.m.